AI GovernanceInternal AIProject Management
AI Governance for Development Teams: Policy, Roles and Review Records
Define approved AI inputs, models, reviewers and approval evidence before expanding internal AI use.
TRUE AI Updated
Summary
- - Decide which documents and code may be used with each approved model, then assign execution, review, QA and approval responsibilities.
- - Test the policy in a first project: review an AI draft, register the chosen artifact version and connect the test result with the approval reason.
- - TRUE AI's IRON MIND combines hardware, AI runtime infrastructure and project management. Local accounts are the starting point; SSO, external SCM and malware scanning are optional integrations.
- - Revised October 6, 2026. Cloud service eligibility and automatic record collection depend on organizational policy and the actual integration; they are not universal guarantees.
Original article
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